Instructions to use rabitt/Chinese-Alpaca-Plus-13B-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rabitt/Chinese-Alpaca-Plus-13B-GPTQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="rabitt/Chinese-Alpaca-Plus-13B-GPTQ")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("rabitt/Chinese-Alpaca-Plus-13B-GPTQ") model = AutoModelForCausalLM.from_pretrained("rabitt/Chinese-Alpaca-Plus-13B-GPTQ", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
eca5f84 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": 2,
"pad_token_id": 0,
"transformers_version": "4.28.1"
}
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